Terms Of Technology Adoption Research Articles

Age-Dependent User Perception Analysis of Web Application Using Technology Acceptance Model Approach: A Case Study

In the pursuit of technologically advanced governance, the Ministry ABC has integrated technology into daily operations, particularly through web applications like an employee administration information system. However, challenges persist in the implementation of online administration, especially in terms of technology adoption among the older generation. This study employs the Technology Acceptance Model (TAM) to investigate the usage of the administrative information system, focusing on System Quality (SQ), Perceived Ease of Use (EU), Perceived Usefulness (PU), and Behavioral Intention (BI). Surveying 147 respondents via questionnaires, the findings reveal that system quality positively influences perceived ease of use and perceived usefulness, while unexpectedly establishing a negative relationship between system quality, perceived ease of use, perceived usefulness, and behavioral intention. These insights hold significance for both theory and practice, reaffirming the crucial roles of perceived ease of use and perceived usefulness in shaping behavioral intentions and augmenting the TAM model.

Economic Mapping of Small-Scale Fishers in Dadap Village, Juntinyuat District, Indramayu Regency, Indonesia

Small-scale fishers (SSF) are essential to providing employment and food security worldwide. This is especially true in coastal countries like Indonesia. However, despite being so important, often the economic and social characteristics of SSF are not well documented. Thus, this research focused on the small-scale fishers of Dadap Village, which is located in the Juntinyuat District, Indramayu Regency, Indonesia. Specifically, through qualitative research methods and economic mapping, this study investigated various aspects of the fisher's characteristics, economic activities, and factors affecting their development. The research found that fishers were between 20-54 years with a relatively low level of education, and many relied on customers for social support due to high fishing supplies costs. The economic mapping of Dadap Village revealed that fishing activities dominated the local economy, with small scale fishers using various fishing gear and vessels, ranging from 2-4 Gross Tonnage to 5-10 Gross Tonnage (GT). The catches varied depending on the fishing gear used, and the income also differed based on the selling price of the catch and the duration of fishing trips. Several supporting factors for the development of small-scale fishers were identified, including the high production of catches and the presence of fish auction facilities. On the other hand, inhibiting factors included selling catches outside the auction place, low education levels, lack of technology usage, and consumptive behavior of fishermen. In conclusion, the study sheds light on the characteristics and economic activities of small-scale fishermen in Dadap Village. The findings highlight the need for support in terms of technology adoption and educational improvements to enhance the development of the fishing community. Additionally, better market access and reduced reliance on middlemen could positively impact the economic growth of small-scale fishers in the area.

Diabetes Technology and the Human Factor.

Diabetes Technology and the Human Factor.

MODERN TECHNOLOGY ADOPTION BY THE RICE FARMERS IN THE SOUTH-WEST REGION OF BANGLADESH

Modern technology adoption usually leads to an increase in agricultural productivity. The rate of this technology adoption might vary depending on diverse agro-economic and socio-political factors. This study attempts to scrutinize the pattern and level of technology adoption by the rice farmers in the south-west region of Bangladesh. Descriptive and inferential analytical techniques are applied using cross-sectional data collected from randomly selected 120 rice-producing farmers in the south-west region of Bangladesh using a pre-tested interview questionnaire. The surveyed farmers have more than 23 years of farming experience on average. Study findings indicate that around 87 percent of the farming households have adopted modern technologies in terms of improved seed, irrigation management, and chemical fertilizer use in the study area. The ratio decreases to around 60 percent if the adoption of harvesting technology is considered. The farmers are lagging far behind to adopt mechanization in the land preparation phase in terms of tractor use. The technology adopter farmers observe that their intensity of technology adoption has increased over the time period. The study findings exhibit that the intensity of technology adoption is higher for the farmers who have better credit access and have engagement in the farmers’ group compared to others. Moreover, farmers who have received farm management training adopt modern technology more intensively than other farmers. This study identifies the backwardness of harvesting and land preparation phases in terms of technology adoption. It also finds that socio-economic circumstances and institutional issues trigger technology adoption decisions.

Discovering the Technology Adoption of Local OTOP Entrepreneurs in Pattani: Exploratory of the Network Structure

This paper explores the technology adoption of the local entrepreneurs and the intention to use the technology i.e., objectives and technology adoption behaviors. 150 local entrepreneurs located in Pattani province in Thailand voluntarily provided information. They were asked to fill in a set of questionnaires regarding the objectives, type, frequency, and time of adopted the technology. The data analytics techniques, including, hierarchical clustering, Epistemic Network Analysis (ENA) were used to explore the qualitative data. Clustering enabled to categorizethe entrepreneurs into groups based on the similarity of technology adoption objectives. ENA illustrated the connections of the studied elements and formed a structure of a network. The results suggested that currently, local entrepreneurs adopt the commonly use social media technology in order to reach out to the targeted customers. The duration of technology adoption was different between the two groups. This exploration suggested that the intention of using the technology and the technology adoption behaviorswere different among the local entrepreneurs who sell the different types of products. The main implication derived from this study are two twofold. That is, there are differences in terms of technology adoption between local entrepreneurs who sales necessary goods and unnecessary goods. Government and related sectors may use this insight in order to design the campaign or provide the necessary training on how to use technology effectively.

Socially vulnerable populations adoption of technology to address lifestyle changes amid COVID-19 in the US

The COVID-19 global pandemic has changed every facet of our lives overnight and has resulted in many challenges and opportunities. Utilizing the Lens of Vulnerability we investigate how disparities in technology adoption affect activities of daily living. In this paper, we analyze the existing literature and case studies regarding how the lifestyles of socially vulnerable populations have changed during the pandemic in terms of technology adoption. Socially vulnerable populations, such as racial and ethnic minorities, people with disabilities, older adults, children, and the socially isolated, are specifically addressed because they are groups of people who have been significantly and disproportionately affected by the pandemic. This paper emphasizes that despite seeing changes in and research on technology adoption across healthcare, employment, and education, the impact of COVID-19 in government and social services and activities of daily living is underdeveloped. The study concludes by offering practical and academic recommendations and future research directions. Lessons learned from the current pandemic and an understanding of the differential technology adoption for activities of daily living amid a disaster will help emergency managers, academics, and government officals prepare for and respond to future crises.

Intellectual property regimes and wage inequality

We use The Patents (Amendment) Act, 2002 in India as a quasi-natural experiment to identify the causal effect of higher incentives for innovation on a firm’s compensation structure. We find that stronger intellectual property (IP) protection has a sharper impact on the demand for managerial skill for technologically advanced firms. Firms that were a-priori above the industry median (in terms of technology adoption, more so for R&D expenditure) witness a rise in the share of managerial compensation by 1.3%–8.3% higher than the rest. This effect is completely driven by firms between 5–8th decile with no effect on firms below the median or at the very top of the technological ladder. This observed “snail-shape” in the firms’ response to the IP shock is rationalized in a model where firms within an industry compete for patents by investing in managerial inputs. The observed increase in wage inequality can partly be attributed to a stronger performance pay for high-tech firms. Associatedly, high-tech firms invested more in technology adoption, started to produce more product varieties at higher quality, and filed for more product patent claims.

Gender-differentiated impacts of plant clinics on maize productivity and food security: Evidence from Zambia

The United Nation’s declaration of 2020 as the International Year of Plant Health underscores the crucial role of crop protection in achieving the sustainable development goals. In this article, we analyse the gendered impacts of plant clinics—an innovative extension approach that aims to help smallholder farmers to lose less of their crops to pests through the provision of plant health diagnostic and advisory services. In particular, we investigate whether male and female farmers accrue similar benefits, in terms of technology adoption, maize productivity and food security, from participating in plant clinics. We use gender-disaggregated plot-level data from maize producers in Zambia. Applying doubly robust estimators, we find that participation in plant clinics stimulates the adoption of multiple pest management strategies, which boost maize yield and income by 14% and 27% respectively, and ultimately help to stave off food insecurity. A disaggregated analysis shows that both male and female farmers achieve positive outcomes from using plant clinic services, but the effects are disproportionately greater for male farmers. We also observe heterogeneous impacts for female household heads and female spouses, reflecting differences in decision-making power within the household. The findings suggest that plant clinics can play a significant role in helping male and female farmers address crop health problems and reduce transitory food insecurity, but female participants (particularly female spouses) will need additional support if the goal is to bridge the gender gap in agricultural productivity.

Enhancing street-level interactions in smart cities through interactive and modular furniture

The idea of smart cities is becoming part of our reality and it represents the transformation that urban areas should undergo to create more sustainable and efficient spaces. Through the combination of technology to gather data, people to produce them and stakeholders’ creativity, the smart cities provide tools and mechanisms that bring greater value to the environment and, in the end, improve citizens quality of life. Although the concept of a smart city is evolving fast in terms of technology adoption and user involvement, the new interactive objects that will be deployed in those smart environments to create street-level interactions are still dubious. Hence, this article contributes to presenting the implementation of a multifunctional digital system, in the form of smart furniture, to be deployed in the smart cities. The proposed smart object is a modular and customizable kiosk, resembling a totem, specifically designed to fit into this digital transformation and to respond to users’ needs by offering contextualized information and services. The included integrated hardware elements interact digitally and physically with users, sense environmental conditions and send the captured data to the cloud, where remote management tools allow to control and configure the whole setup. The presented smart totem has been customized for two different use-cases to highlight the adaptability of the system to fit for different purposes. Moreover, one of the use-cases has been thoroughly evaluated after being deployed for 6 months in the wild at the Chinese and Japanese Garden of Singapore. The quantitative data gathered throughout this study along with the obtained qualitative users’ feedback, help to provide insights for the convenience of deploying new interactive furniture in smart cities, the adoption barriers of such physical systems, and the new opportunities that these street-level interactions can elicit.

Millennials Consumers' Behaviors between Trends and Experiments

Millennial consumer behaviors approach purchasing or shopping things differently when compared to what earlier generations encountered. Each generational cohort shares a common technological, social, political, historical, and economic environment that shapes and distinguishes them from one another and the millennial generation is using social media as a shopping platform. Technology advancement has become far more user-friendly during millennials' lifetimes, as they are attached to the social media given that it has become a platform that is utilized to communicate and shop. The aim of the study is to look at the characteristics of consumers' behaviors as it has a huge impact on the development of new business strategies. This article provides an analytical framework of millennial consumers' behaviors based on previous studies along with data collected from a focus group discussion. The study finds that millennials are more confident compared to earlier generations, more willing to be experimented on and willing to experiment, and are fashionable trend-wise. In terms of technology adoption, millennials have adopted technology as a way of life which makes full use of its functions ranging from communication to entertainment and optimized social media presence is essential for brands that are targeting millennials.

Internet of Things Driven Perceived Value Co-Creation in Smart Cities of the Future: A PLS-SEM Based Predictive Model

With the swift developments and improvement in the information and communications technology, everyone is viewing the emergence of another age of the Internet of Things. A smart city is an urban development vision to assimilate numerous technologies with Internet of Things solutions. Therefore, this study explores the antecedents and consequence of Internet of Things in value cocreation of smart cities in an emerging economy like India. Quantitative research approach was used in the current study. Prior research work was analysed to develop a comprehensive research model in context of smart cities in India. Responses were collected from the residents of proposed and selected smart cities by Indian Union Government. Total 1136 questionnaires were circulated using Google Docs and for final analysis 436 were used. The results of the current study render additional considerate in terms of technology adoption regarding Smart Cities in India. Therefore, in this ecosystem of technology the participants like developers, users, lawmakers, and solution providers promotes the solutions in form of Internet of Things among the prospects. The suggestions for policymakers are to deliver a superior experience for the general public and engaging them continuously with the advancement in technology. The study has adopted qualitative research in order the study the antecedents and consequence of Internet of Things while future researcher can use qualitative research approach in order to expand the proposed model.

Aggregation of Linked Data in the Cultural Heritage Domain: A Case Study in the Europeana Network

Online cultural heritage resources are widely available through digital libraries maintained by numerous organizations. In order to improve discoverability in cultural heritage, the typical approach is metadata aggregation, a method where centralized efforts such as Europeana improve the discoverability by collecting resource metadata. The redefinition of the traditional data models for cultural heritage resources into data models based on semantic technology has been a major activity of the cultural heritage community. Yet, linked data may bring new innovation opportunities for cultural heritage metadata aggregation. We present the outcomes of a case study that we conducted within the Europeana cultural heritage network. In this study, the National Library of The Netherlands contributed by providing the role of data provider, while the Dutch Digital Heritage Network contributed as an intermediary aggregator that aggregates datasets and provides them to Europeana, the central aggregator. We identified and analyzed the requirements for an aggregation solution for the linked data, guided by current aggregation practices of the Europeana network. These requirements guided the definition of a workflow that fulfils the same functional requirements as the existing one. The workflow was put into practice within this study and has led to the development of software applications for administrating datasets, crawling the web of data, harvesting linked data, data analysis and data integration. We present our analysis of the study outcomes and analyze the effort necessary, in terms of technology adoption, to establish a linked data approach, from the point of view of both data providers and aggregators. We also present the expertise requirements we identified for cultural heritage data analysts, as well as determining which supporting tools were required to be designed specifically for semantic data.

TOWARDS AN UNDERSTANDING OF THE CHINESE AGRICULTURE TECHNOLOGY DEMONSTRATION CENTRE(S) IN AFRICA

This review article focuses on the Chinese built Agriculture Technology Demonstration Centers (ATDCs) in Africa as a model for delivering agriculture aid. The article attempts to answer several questions key among them are; How has the model fared in different contexts? What questions or themes did existing studies miss or partially cover and how can such questions be framed for us to; have a better understanding of the ATDC; or instead develop a framework for studying the ATDC model. The study makes use of a systematic scoping review as the guiding research methodology. The ATDC managed to diffuse agriculture technology to farmers in Africa, increased their incomes, diversified their livelihoods and more importantly provided an alternative model for the delivery of agriculture aid in a context where traditional aid delivery faces sustainability challenges. Conversely, the model faced hurdles such as ensuring the balancing act between aid and commerce which are in essence two polemical activities, limited cooperation from some related bodies in host countries and lack of exposure to the African terrain also resulted in the implementation of inappropriate technologies. In terms of existing studies, the gender question is rarely addressed; similarly, in terms of technology adoption, there has been a binary description of adoption-non-adoption, this bifurcation does not correctly capture ground level realities. Furthermore, existing studies are institutionalistic mainly in nature with much emphasis on how the ATDC is run and not how it impacts on communities that are the supposed beneficiaries. Overall, there is an urgent call to work towards a framework for understanding ATDCs. Article visualizations:

Management and technological practices in Amazonian fish farms: A case study in the Southeast of Pará

Consumer exigencies demands that fish farmers use technological advances to increase the product standards and quality, involving better management and productivity levels. Aiming to investigate the technological practices of fish farming in the Amazon region, in this study, we performed an explanatory factor analysis (EFA) of data from a survey conducted with fish farmers in the southeast region of Pará state. The EFA model grouped the technological variables in four factors. We then normalized factors scores for each subject in each factor to construct an index of technological practices adoption (ITA) to determine the most used or the most neglected technology in terms of adoption by fish farmers. In addition, we performed a linear regression to identify the most influential variables that interfered with technological adoption. The Southeast Amazon region has a great potential to expand fish farming, however most fish farmers have adopted few technologies that are aimed at improving production. The results of ITA demonstrate that most fish farmers in Amazon do not use the recommended technological practices for the activity, as 85% percent of them were classified as low or very low in terms of technology adoption. Small-scale farmers are more likely to adopt management practices than large farmers. In large properties, fish farming is understood as a secondary activity, with cattle ranching being the predominant economic activity, in contrast, small-scale farmers invest more in technology because fish farming is their primary activity. For a long-term development strategy, both small and large farmers need greater technology adoption, thus establishing innovation networks and developing continuous mechanisms of resilience, which are still absent in the current sector.

Assessing the Impact of NAADS Programme on Agricultural Economic Performance in Mbarara District - Uganda

This study was conducted on assessing the impact of NAADS programme on agricultural economic performance in Mbarara district. Agricultural Economic performance was assessed in terms of household income and commercialization. The study was done in two Sub-Counties i.e. Nyamitanga and Mwiizi S/County to represent Mbarara district. A sample of 132respondents was used of both NAADS and Non-NAADS farmers in both Goat rearing and Piggery and NAADS Coordinators who were involved in the programme from the district to Parish level in Mbarara district. Both stratified and purposive sampling were used to select the sample in both Mwiizi sub –county and Nyamitanga division as, 63 NAADS farmers of both enterprises (goat and pig rearing) and 6 NAADS Coordinators from two S/Counties as well as 63 NonNAADS farmers from the same enterprises in both sub-counties.The study used both questionnaire survey and interview methods in collecting data from the field.The study adopted a Quasi- experimental research design where difference in difference model was used. The Difference between means was used to determine if there is a significant difference between NAADS and NonNAADS on economic outcomes of commercialization and household income in Mbarara district. The primary data was collected using questionnaire survey and interview methods and analyzed using SPSS. The findings show that there was no significant difference on level of commercialization in terms of technology adoption; household income in both NAADS and NonNAADS farmers involved in goat rearing and piggery in Mbarara district. Basing on the findings, the level of monitoring and supervision, distribution of farm inputs and service delivery, fund flows to facilitate the coordinators and service providers, and purchase inputs, farm inputs to distribute to farmers, attitude of farmers towards government programmes and corruption and embezzlement of funds were the most important factors that greatly affected the economic performance of NAADS programme in Mbarara district. In recommendation, the government should increase the level of monitoring and supervision at different levels, increasing in the accessibility of inputs and service delivery, anti-corruption and embezzlement laws, allocation of enough funds, empowerment of the institutions like the local government, farmer groups and other civil society organisations (CSOs), increase on the level of accessibility through fair distribution of farm inputs and encourage pilot studies in area where the programme is to be implemented. Keywords : NAADS Programme, Agricultural Economic Performance. DOI : 10.7176/JESD/10-7-06 Publication date : April 30 th 2019

Organize to Innovate: Intellectual Property Regimes, Technology Adoption and Firm Structure

We use The Patents (Amendment) Act, 2002 in India as a quasi-natural experiment to identify the causal effect of higher incentives for innovation on a firm's compensation structure. We find that stronger intellectual property (IP) protection has a sharper impact on the demand for managerial skill for technologically advanced firms. Firms that were apriori above the industry median (in terms of technology adoption) see a rise in the share of managerial compensation by 1.3-8.3% higher than the rest. This effect is completely driven by the firms between 60th-90th percentile. The increase in wage inequality can partly be attributed to a stronger performance pay for high-tech firms. Associatedly, the reform also leads to a significant reallocation of resources between firms. The high-tech firms invested more in technology adoption, started to produce more product varieties at higher quality and filed for more product patent claims. Broadly, we demonstrate that stronger IP protection leads to higher wage inequality between firms.

Technological factors associated with oil palm yield gaps in the Central Region in Colombia

This study builds on the results from a previous study (Ruiz, 2017), aimed to identify and quantify yield gaps in a sample of lots from small and medium scale producers, all suppliers of the same mill. The technical staff from the mill provides technical assistance to the aforementioned growers. This study was aimed at identifying what technological factors are associated with such gaps. Regarding the methodological approach, first, it was used the technology balance index (TBI) in order to quantify technology adoption. The TBI allows for rating technology adoption at oil palm crops by considering five processes (which comprehend 25 cropping practices). The processes evaluated are establishment, weeding and pruning, fertilizing, pests control and harvesting. The TBI assigns a category for each practice: high if it is fully adopted, intermediate if it is partially adopted and low if it is not adopted at all. Secondly, in order to determine those practices affecting yield gaps; we used a multiple correspondence analysis (MCA). MCA allowed to synthesize data into two dimensions with 51% of the variability given by the data gathered (qualification of the adoption of 25 crop management practices). Thirdly, we used cluster analysis in order to group lots according to adoption of technology. Then we related the obtained groups with the yield records. MCA results indicated that proper establishment, harvest and nutrition practices are the ones causing most of the variability in terms of technology adoption. The groups resulting from CA, provided evidence that a greater adoption of technology, leads greater yields (i.e. smaller yield gaps).

The U.S. Inter-Sector Network Dynamics and Its Effects on Technology Adoption

In the second half of the twenty century the U.S. economy has gone through important transformations both in terms of production and network structure between sectors but also in terms of technology adoption. In this context, using a network perspective we question how these changes in the inter-sector network structure have influenced the process of technology adoption? In order to answer this question we map Input-Output Use Tables from the period 1945-1995 into a weighted directed network. Among other results, we found clear evidence of global (but not local) network structure effects in the intensity of technology adoption. High network betweenness is associated with a greater appropriation of the technology adoption benefits. Consequently, it incentives the adoption of more sophisticated and productive technologies. On the other hand, high relative network closeness is associated with a weaker appropriation capacity. Consequently, it provides stronger incentives for the adoption of basic and cheaper technologies. The existing tradeoffs and their implications for the technology policy are also considered.

The Internet Impact on Travel Purchases: Insights from Portugal

This research proposes an analysis of online consumer buying behavior in the travel and tourism field in Portugal. The study utilizes a self-administrated survey on a sample of 380 individuals created in order to understand the influence of the Internet on consumer buying behavior. The survey was administrated in Portugal, one of the European countries that are still struggling with Internet penetration. Results show the importance of the Internet has on two stages of the buying process: (i) alternative evaluation and (ii) buying act. Furthermore, this research highlights the critical role of touristic products availability and search costs on the buying behavior of consumers. However, past bad experiences and a certain level of insecurity persist as factors limiting the online purchase process. Results confirm the general trends in consumer behavior and highlight the need of moving further for Portugal in terms of technology adoption.

AACP 3.0

AACP 3.0